The migration of rural laborers into cities for employment has been one of the main driving forces of China's economic growth over the past three decades. Based on a dataset collected by the Ministry of Agriculture of China from 2003 to 2007, this paper examines the impact of health on the earnings of migrant workers engaging in physically-intensive work requiring good health. Our findings indicate that a poor health status not only weakens the incentive of rural laborers to participate in the migrant labor force but also significantly reduces their earnings. A migrant worker in poor health only earns 67 percent of what a healthy worker makes. Among all the human capital characteristics and family economic factors, health status is the most influential on earnings for less educated workers. Labor productivity has a greater impact on earnings than the annual number of days that a person works. Ongoing health-care reforms aimed at the improvement of the health-care services available to rural laborers are urged to help reduce poverty in rural China.
We investigate the predictive power of various trading rules with different combinations of the most popular indicators in technical analysis for the Brazilian stock index (BOVESPA) over the period of 5/1/1996 to 3/1/2011, or 14.83 years. The empirical results show that all the buy-sell differences under single, double and triple-indicator combinations are insignificant in t-test; that is, technical trading models cannot beat the buy and hold strategy. Although few multiple-indicator trading models show profitability, their predictive power is eliminated after considering the possible interest earning from money market in the days out of stock market. The results support strongly the weak form of market efficiency for the Brazilian stock market.
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